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Prediction of cardiovascular events in rheumatoid arthritis using risk age calculations: evaluation of concordance across risk age models

Arthritis research & therapy, 2020-04, Vol.22 (1), p.90-90, Article 90 [Peer Reviewed Journal]

COPYRIGHT 2020 BioMed Central Ltd. ;2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 1478-6362 ;ISSN: 1478-6354 ;EISSN: 1478-6362 ;DOI: 10.1186/s13075-020-02178-z ;PMID: 32326974

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Title:
Prediction of cardiovascular events in rheumatoid arthritis using risk age calculations: evaluation of concordance across risk age models
Author: Wibetoe, Grunde ; Sexton, Joseph ; Ikdahl, Eirik ; Rollefstad, Silvia ; Kitas, George D ; van Riel, Piet ; Gabriel, Sherine ; Kvien, Tore K ; Douglas, Karen ; Sandoo, Aamer ; Arts, Elke E ; Wållberg-Jonsson, Solveig ; Dahlqvist, Solbritt Rantapää ; Karpouzas, George ; Dessein, Patrick H ; Tsang, Linda ; El-Gabalawy, Hani ; Hitchon, Carol A ; Pascual-Ramos, Virginia ; Contreas-Yañes, Irazu ; Sfikakis, Petros P ; González-Gay, Miguel A ; Colunga-Pedraz, Iris J ; Galarza-Delgado, Dionicio A ; Azpiri-Lopez, Jose Ramon ; Crowson, Cynthia S ; Semb, Anne Grete
Subjects: Adult ; Age Factors ; Age groups ; Aged ; Algorithms ; Arthritis ; Arthritis, Rheumatoid - complications ; Blood pressure ; Cardiovascular disease ; Cardiovascular diseases ; Cardiovascular Diseases - epidemiology ; Cardiovascular risk age ; Cholesterol ; Clinical medicine ; Consortia ; Diabetes ; Diabetes mellitus ; Female ; Health risk assessment ; Heart attacks ; Humans ; Male ; Medical research ; Middle Aged ; Patients ; Performance evaluation ; Rheumatic diseases ; Rheumatoid arthritis ; Rheumatoid factor ; Risk Assessment - methods ; Risk Factors ; Vascular age
Is Part Of: Arthritis research & therapy, 2020-04, Vol.22 (1), p.90-90, Article 90
Description: In younger individuals, low absolute risk of cardiovascular disease (CVD) may conceal an increased risk age and relative risk of CVD. Calculation of risk age is proposed as an adjuvant to absolute CVD risk estimation in European guidelines. We aimed to compare the discriminative ability of available risk age models in prediction of CVD in rheumatoid arthritis (RA). Secondly, we also evaluated the performance of risk age models in subgroups based on RA disease characteristics. RA patients aged 30-70 years were included from an international consortium named A Trans-Atlantic Cardiovascular Consortium for Rheumatoid Arthritis (ATACC-RA). Prior CVD and diabetes mellitus were exclusion criteria. The discriminatory ability of specific risk age models was evaluated using c-statistics and their standard errors after calculating time until fatal or non-fatal CVD or last follow-up. A total of 1974 patients were included in the main analyses, and 144 events were observed during follow-up, the median follow-up being 5.0 years. The risk age models gave highly correlated results, demonstrating R values ranging from 0.87 to 0.97. However, risk age estimations differed > 5 years in 15-32% of patients. C-statistics ranged 0.68-0.72 with standard errors of approximately 0.03. Despite certain RA characteristics being associated with low c-indices, standard errors were high. Restricting analysis to European RA patients yielded similar results. The cardiovascular risk age and vascular age models have comparable performance in predicting CVD in RA patients. The influence of RA disease characteristics on the predictive ability of these prediction models remains inconclusive.
Publisher: England: BioMed Central Ltd
Language: English
Identifier: ISSN: 1478-6362
ISSN: 1478-6354
EISSN: 1478-6362
DOI: 10.1186/s13075-020-02178-z
PMID: 32326974
Source: GFMER Free Medical Journals
MEDLINE
PubMed Central
SWEPUB Freely available online
Springer Nature OA/Free Journals
ProQuest Central
DOAJ Directory of Open Access Journals

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Prediction of cardiovascular events in rheumatoid arthritis using risk age calculations: evaluation of concordance across risk age models

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